k_dropout: Sets entries in 'x' to zero at random, while scaling the...
In dfalbel/keras: R Interface to 'Keras'

Description Usage Arguments Value Keras Backend

Sets entries in x to zero at random, while scaling the entire tensor.

1	k_dropout(x, level, noise_shape = NULL, seed = NULL)

`x`	tensor
`level`	fraction of the entries in the tensor that will be set to 0.
`noise_shape`	shape for randomly generated keep/drop flags, must be broadcastable to the shape of `x`
`seed`	random seed to ensure determinism.

A tensor.

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.